My decomposition? (The threats are no longer even veiled)
Reddit - r/math - new (chronological) - 7d ago
My decomposition? (The threats are no longer even veiled)
Reddit - r/math - new (chronological) - 7d ago
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
My decomposition? (The threats are no longer even veiled)
Now this animation is available for the 1000 sequences decomposed on my website.
Accessible from the 3Dgraph, 2Dgraph500terms and 2dgraphs pages https://decompwlj.com
A little more work on axis sizing and controls.
4: The palindromes in base 10 (A002113) https://decompwlj.com/3DgraphGen/Palindromes.html
3: The triangular numbers (A000217) https://decompwlj.com/3DgraphGen/Triangular_numbers.html
2: The prime numbers (A000040) https://decompwlj.com/3DgraphGen/Prime_numbers.html
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
My decomposition? (Reddit - r/math - new- 5 day ago)
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
Now this animation is available for the 1000 sequences decomposed on my website.
Accessible from the 3Dgraph, 2Dgraph500terms and 2dgraphs pages https://decompwlj.com
A little more work on axis sizing and controls.
4: The palindromes in base 10 (A002113) https://decompwlj.com/3DgraphGen/Palindromes.html
3: The triangular numbers (A000217) https://decompwlj.com/3DgraphGen/Triangular_numbers.html
2: The prime numbers (A000040) https://decompwlj.com/3DgraphGen/Prime_numbers.html
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
And as an added bonus: Dileep George, one of the authors of the paper, just shared a #JupyterNotebook demo . You can explore the #CSCG model, visualize #PlaceFields, and inspect the learned #latent #graphs
Just try it out, it's great fun
This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.
Generation of four sequences decomposed into weight × level + jump (log(weight), log(level), log(jump)) - three.js animation:
1: The natural numbers (A000027) https://decompwlj.com/3DgraphGen/Natural_numbers.html
Now this animation is available for the 1000 sequences decomposed on my website.
Accessible from the 3Dgraph, 2Dgraph500terms and 2dgraphs pages https://decompwlj.com
A little more work on axis sizing and controls.